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GO enrichment results  
   
Top 20 enriched GO molecular function (p-value based on targets)

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Data source: DrugBank-all; Query type: chemical; # of predictions: 20; Secondary interactions: no
Input drug 1: DB01365


22 GO molecular function of known targets for input drug:
No. GO terms Targets # of targets p-value (EPT) p-value (EPD)
1 epinephrine binding ADRA2A;ADRA2C;ADRB2;ADRB3;ADRB1;ADRA2B 6 2.7E-15 0.049
2 norepinephrine binding ADRB1;ADRA2A;ADRB2;ADRB3 4 5.4E-10 0.051
3 alpha2-adrenergic receptor activity ADRA2A;ADRA2B;ADRA2C 3 1.3E-7 0.048
4 alpha1-adrenergic receptor activity ADRA1A;ADRA1B;ADRA1D 3 1.3E-7 0.039
5 protein heterodimerization activity ADRB1;ADRA2A;ADRA1B;ADRA1A;ADRA2C 5 6.1E-6 0.097
6 beta-adrenergic receptor activity ADRB1;ADRB3 2 3.4E-5 0.063
7 alpha-2A adrenergic receptor binding ADRB1;ADRA2C 2 0.00029 0.041
8 beta2-adrenergic receptor activity ADRB2 1 0.005 0.068
9 Ras guanyl-nucleotide exchange factor activity ADRB1 1 0.005 0.079
10 protein homodimerization activity ADRA2A;ADRB2;ADRB3;ADRA2C 4 0.0054 0.16
11 alpha-1B adrenergic receptor binding ADRA2A 1 0.0054 0.048
12 beta1-adrenergic receptor activity ADRB1 1 0.0059 0.097
13 beta3-adrenergic receptor activity ADRB3 1 0.0064 0.14
14 heterotrimeric G-protein binding ADRA2A 1 0.0071 0.054
15 alpha-2C adrenergic receptor binding ADRA2A 1 0.0094 0.048
16 thioesterase binding ADRA2A 1 0.022 0.042
17 dopamine binding ADRB2 1 0.033 0.06
18 receptor signaling protein activity ADRB1 1 0.042 0.046
19 potassium channel regulator activity ADRB2 1 0.051 0.049
20 PDZ domain binding ADRB1 1 0.069 0.039
21 drug binding ADRB2 1 0.2 0.19
22 protein kinase binding ADRA2A 1 0.26 0.093



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Reference:  Hongchun Li, Fen Pei, D. Lansing Taylor and Ivet Bahar. (2020) QuartataWeb: Integrated Chemical–Protein-Pathway Mapping for Polypharmacology and Chemogenomics. Bioinformatics 36(12), 3935–3937.

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The QuartataWeb server is maintained by the Bahar Lab at the Department of Computational & Systems Biology at the University of Pittsburgh, School of Medicine, and sponsored by the NIH awards P41 GM103712 and P01 DK096990; and by the Li Lab at Research Center for Computer-Aided Drug Discovery at Shenzhen Institutes of Advanced Technology, CAS.

For questions and comments please contact Hongchun Li.